Donghyun Kim

Artificial Intelligence · with Park · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it; #34,656 of 35,345 by trust here, #15,866 by citations
• Information Systems — 15 citations into it; #8,550 of 8,771 by trust here, #3,761 by citations
• Representation & Self-Supervised Learning — 12 citations into it
• Graph Learning — 11 citations into it
• Natural Language Processing — 10 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it

Whom Donghyun Kim trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yoshua Bengio
2. Yann LeCun
3. Geoffrey E. Hinton
4. Yehuda Koren
5. Yoon Kim
6. Diederik P. Kingma
7. L. Eon Bottou
8. Alex Krizhevsky
9. Ilya Sutskever
10. Ronan Collobert

Who trusts Donghyun Kim overall

1. Yichao Lu
2. Aminu Da’u
3. Yi Tay
4. Chenliang Li
5. Qian Zhang
6. Wonsung Lee
7. Libing Wu
8. Shuai Zhang
9. Zeynep Batmaz
10. Sungyong Seo

Papers from Donghyun Kim's perspective

Ordered by how strongly the researchers Donghyun Kim trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Convolutional Matrix Factorization for Document Context-Aware Recommendation (2016) — 769 citations
• Unsupervised Attributed Multiplex Network Embedding (2019) — 341 citations